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Record Nr. |
UNINA9910547296903321 |
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Titolo |
Big-Data-Analytics in Astronomy, Science, and Engineering : 9th International Conference on Big Data Analytics, BDA 2021, Virtual Event, December 7–9, 2021, Proceedings / / edited by Shelly Sachdeva, Yutaka Watanobe, Subhash Bhalla |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
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ISBN |
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Edizione |
[1st ed. 2022.] |
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Descrizione fisica |
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1 online resource (283 pages) |
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Collana |
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Information Systems and Applications, incl. Internet/Web, and HCI ; ; 13167 |
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Disciplina |
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Soggetti |
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Data mining |
Computer engineering |
Computer networks |
Application software |
Machine learning |
Data Mining and Knowledge Discovery |
Computer Engineering and Networks |
Computer and Information Systems Applications |
Machine Learning |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di contenuto |
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Data Science: Systems -- Big Data Management for Policy Support in Sustainable Development -- Development of the Research Data Archive at OIST -- Symbolic Regression and Graph Neural Networks for Interpretable Scientic Discovery -- A front-end framework selection assistance system with customizable quantification indicators based on analysis of repository and community data -- DATA SCIENCE: Architectures -- Autonomous real-time science-driven follow-up of survey transients -- Deep Learning Application for Reconstruction of Large-Scale Structure of the Universe -- Identification of Distinctive Behavior Patterns of Bots and Human Teams in Soccer -- Cosmic density field reconstruction with a sparsity prior using images of |
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distant galaxies -- Big Data Analytics in Domain-Specific Systems -- Blockchain Enabled System for Interoperable Healthcare -- Skin cancer recognition for low resolution images -- Forecasting AQI data with IoT Enabled Indoor Air Quality Monitoring System -- Journey of Database Migration From RDBMS to NoSQL Data Stores -- Information Interchange of Web Data Resources -- Cascaded Anomaly Detection with Coarse Sampling in Distributed Systems -- Video Indexing System based on Multimodal Information Extraction using combination of ASR and OCR -- GA-ProM: A Genetic Algorithm for Discovery of Complete Process Models from Unbalanced logs -- Experimenting with Assamese Handwritten Character Recognition -- Business Analytics -- Approximate Fault-tolerant Data Stream Aggregation for Edge Computing -- Internet of Things Integrated with Multi-level Authentication for Secured IoT Data Stream through TLS/SSL Layer -- Enhanced Bond Energy Algorithm for Vertical Fragmentation of IoT Data in a Fog Environment -- Approximate Query Processing with Error Guarantees. . |
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Sommario/riassunto |
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This book constitutes the proceedings of the 9th International Conference on Big Data Analytics, BDA 2021, which took place virtually during December 7–9, 2021. The 15 full papers and 1 short paper included in this volume were carefully reviewed and selected from 60 submissions. They were organized in topical sections as follows: Data science: systems; data science: architectures; big data analytics in healthcare support systems, information interchange of web data resources; and business analytics. |
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